Investigating the prevalence and predictors of food insecurity: a comparison of HFSSM and EU-SILC indicators

Purpose Data from the Northern Ireland (NI) Health Survey 2014/15 ( n = 2,231) were statistically analysed to examine prevalence of food insecurity according both indicators. Pearson's X 2 test for association and logistic regressions used associations between security status predictor variables. Design/methodology/approach Household has been identified as a significant societal issue in developed developing nations, but there exists no universal indicator approximate its prevalence. In NI, two indicators (United States Food Security Module [HFSSM] European Union Statistics on Income Living Conditions [EU-SILC] deprivation questions) have used. This study examines how differ their classification population sample also relationship various demographic household factors status. Findings According EU-SILC questions, 8.3% 185) indicated be insecure, while HFSSM, 6.5% 146) insecure. The HFSSM regression models differed underlying variables they predictors insecurity. Significant common modules tenure, employment status, health anxiety/depression receipt benefits. Originality/value can inform policy action with regards targeting key contributors decisions NI elsewhere choosing most appropriate indicator.